David Duvenaud

David Duvenaud is an Associate Professor in Computer Science and Statistics at the University of Toronto, who now works mainly on problems related to civilizational alignment, i.e. understanding what it will take to keep states and institutions aligned to human interests post-AGI. He holds a Sloan Research Fellowship, a Canada Research Chair in Generative Models, and a CIFAR AI chair. His postdoc was done at Harvard University and his Ph.D. at the University of Cambridge. He is a Founding Member of the Vector Institute for Artificial Intelligence. In 2023-2024 he did a sabbatical at Anthropic, leading their Alignment Evaluations team, as well as research projects on jailbreaks and sabotage. He's also a co-chair of the Schwartz Reisman Institute for Technology and Society, a director of the AI Safety Foundation, and an advisor to AVERI. He has also received a Google Faculty Award, and best paper awards at both the Neural Information Processing Systems (NeurIPS) conference and the International Conference on Machine Learning (ICML).